Argentina’s Vaca Muerta shale development through hydraulic fracture stimulation has unveiled challenges related not only to well completions but also to well frac hits interference with nearby producing wells.

The primary objective of this work is to develop a workflow and forecasting tool to anticipate child/parent interferences and its maximum expected well head pressure. The methodology is developed by a multidisciplinary team, including Reservoir & Production Engineering, Geology, Geophysics and Data Management specialists, it proposes an operational guideline to minimize impact when fracturing child wells/pads.

Keywords:
asset and portfolio management, complex reservoir, machine learning, shale gas, artificial intelligence, hydraulic fracturing, shale oil, oil shale, field development optimization and planning, well head pressure
Subjects:
Hydraulic Fracturing, Unconventional and Complex Reservoirs, Asset and Portfolio Management, Shale gas, Shale oil, Field development optimization and planning
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2020. Unconventional Resources Technology Conference
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